Single-cell dynamics of antibiotic persistence reveal diverse modes of survival

ORAL

Abstract

Single cells of bacteria can exhibit phenotypic states that are tolerant to high doses of antibiotics without being resistant. Such persister cells are formed by stochastic switching and are typically present at low frequencies (as low as ~10-6) in actively dividing populations. Due to their extremely low frequency, the mechanisms of persister formation at the single-cell level remain poorly understood. Using a novel, glass-etched microfluidic microchamber array capable of imaging ~105 cells per experiment, we tracked over one million individual wild-type Escherichia coli cells before, during, and after antibiotic exposure. While previous studies have characterized dormant and slowly-growing persister cells that are formed in stationary phase, here we directly observe rapidly growing persister cells that are formed in exponential phase. Such persister cells display diverse survival behaviors, including continuous division, transient growth arrest, L-form-like morphology, and post-exposure filamentation. Moreover, we find that under ciprofloxacin treatment, all persisters – including those from stationary-phase cultures – correspond to cells that were actively growing prior to exposure. These results reveal history-dependent diversity in persistence dynamics at the single-cell level, which opens new directions for both quantitative modeling and biological understanding of bacterial persistence.

*This work was supported by JST CREST Grant Number JPMJCR1927 (Y.W.); JST ERATO Grant Number JPMJER1902 (Y.W.); NIH Grant Number R01-GM097356 (E.K.); and Japan Society for the Promotion of Science KAKENHI Grant Number 17H06389, 19H03216, and 24H00552 (Y.W.).

Publication: Miki Umetani, Miho Fujisawa, Reiko Okura, Takashi Nozoe, Shoichi Suenaga, Hidenori Nakaoka, Edo Kussell, Yuichi Wakamoto (2025) Observation of persister cell histories reveals diverse modes of survival in antibiotic persistence eLife 14:e79517, https://doi.org/10.7554/eLife.79517

Presenters

  • Miki Umetani

    • New York University (NYU)

Authors

  • Miki Umetani

    • New York University (NYU)
  • Miho Fujisawa

    • The University of Tokyo
  • Reiko Okura

    • The University of Tokyo
  • Takashi Nozoe

    • The University of Tokyo
    • Univ of Tokyo
  • Shoichi Suenaga

    • The University of Tokyo
  • Hidenori Nakaoka

    • Tokushima University
  • Edo Kussell

    • New York University (NYU)
  • Yuichi Wakamoto

    • The University of Tokyo